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intfloat
/
simlm-msmarco-reranker

Text Ranking
sentence-transformers
PyTorch
English
electra
Model card Files Files and versions
xet
Community
4

Instructions to use intfloat/simlm-msmarco-reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use intfloat/simlm-msmarco-reranker with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("intfloat/simlm-msmarco-reranker")
    
    query = "Which planet is known as the Red Planet?"
    passages = [
    	"Venus is often called Earth's twin because of its similar size and proximity.",
    	"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
    	"Jupiter, the largest planet in our solar system, has a prominent red spot.",
    	"Saturn, famous for its rings, is sometimes mistaken for the Red Planet."
    ]
    
    scores = model.predict([(query, passage) for passage in passages])
    print(scores)
  • Notebooks
  • Google Colab
  • Kaggle
simlm-msmarco-reranker
439 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
tomaarsen's picture
tomaarsen HF Staff
Update model metadata to set pipeline tag to the new `text-ranking` and library name to `sentence-transformers`
3d8c5fd verified about 1 year ago
  • .gitattributes
    1.34 kB
    initial commit over 3 years ago
  • README.md
    3.59 kB
    Update model metadata to set pipeline tag to the new `text-ranking` and library name to `sentence-transformers` about 1 year ago
  • config.json
    886 Bytes
    add models over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    438 MB
    xet
    add models over 3 years ago
  • special_tokens_map.json
    112 Bytes
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  • tokenizer.json
    466 kB
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  • tokenizer_config.json
    340 Bytes
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  • vocab.txt
    232 kB
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